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gor1/my_awesome_model_tweets_A1
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1364
- Validation Loss: 0.1090
- Train Accuracy: 0.9923
- Epoch: 14
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 80, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 0.6748 | 0.6426 | 0.6692 | 0 |
| 0.6347 | 0.6105 | 0.6692 | 1 |
| 0.6120 | 0.5834 | 0.6692 | 2 |
| 0.5860 | 0.5503 | 0.6692 | 3 |
| 0.5398 | 0.5131 | 0.6923 | 4 |
| 0.5049 | 0.4603 | 0.8 | 5 |
| 0.4635 | 0.4081 | 0.8538 | 6 |
| 0.4086 | 0.3537 | 0.8923 | 7 |
| 0.3432 | 0.2976 | 0.9231 | 8 |
| 0.2994 | 0.2467 | 0.9308 | 9 |
| 0.2575 | 0.2037 | 0.9615 | 10 |
| 0.2125 | 0.1705 | 0.9846 | 11 |
| 0.1821 | 0.1441 | 0.9923 | 12 |
| 0.1518 | 0.1239 | 0.9923 | 13 |
| 0.1364 | 0.1090 | 0.9923 | 14 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.3
